Dan Klein

Daniel J. Klein has a Ph.D. in Aeronautics and Astronautics from the University of Washington, Seattle, where he also obtained a Master of Science. He also has a Bachelor of Science (Honors) in Mechanical Engineering from the University of Wisconsin, Madison, where his undergraduate thesis described the design and implementation of automated processing algorithms for retinal fundus and scheimpflug image analysis. Previous to IDM, Daniel was a postdoctoral scholar in the Electrical and Computer Engineering department at the University of California, Santa Barbara, where he worked on the theory and practice of multi-agent control systems. Daniel’s past research includes coordinated control of unmanned aerial vehicles, distributed estimation leveraging cycles in the measurement topology, and infection-like information propagation in mobile ad-hoc networks. His work also includes the development of a nonlinear phase-coupled oscillator theory that enabled a group of airplane-like vehicles to track a target in a coordinated manner, which was demonstrated using a small school of free-swimming robotic fish. Additional areas of research have included information propagation in delay-tolerant networks, sensor-guided flight, coordinated target tracking, acoustic source localization, computer vision systems, optimization, medical image processing, and distributed state estimation.
As a member of IDM’s research team, Daniel’s time is split between developing the HIV model and building research tools. His HIV work focuses on building the contact network using ideas from feedback control to guide the dynamical relationship formation process. He is exploring structural assumptions in HIV modeling, HIV model calibration, the impact of interventions, and parameter sensitivity. The research tools he is developing allow researchers to run simulations in parallel on a supercomputer and view the results, as well as to explore large parameter spaces to find interesting regions, and to calibrate model parameters. In his spare time, Daniel guest lectures at the University of Washington, participates in the HIV Modeling Consortium and other related groups, and is a frequent presenter at conferences.